Graph-based Data Mining, Pattern Recognition and Anomaly Detection for Intelligent Energy Networks-Reference-Cited by-同舟云学术

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Graph-based Data Mining, Pattern Recognition and Anomaly Detection for Intelligent Energy Networks

Published:2024-07 Issue: Volume:193 Page:110329
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Grassi Francesco,Manganini Giorgio^ORCID,Kouramas Konstantinos

Funder

European Commission

Publisher

Elsevier BV

Reference68 articles.

1. Principal component analysis;Abdi;Wiley Interdisciplinary Reviews: Computational Statistics,2010

2. Anomaly detection techniques in smart grid systems: A review;Banik,2023

3. Semi-supervised learning on Riemannian manifolds;Belkin;Machine Learning,2004

4. Using dynamic time warping to find patterns in time series;Berndt,1994

5. Pattern recognition and machine learning;Bishop,2006

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1. Design of Customized Teaching Strategies Based on User Behavior Analysis in the Digital Transformation of Health Education;Applied Mathematics and Nonlinear Sciences;2024-01-01

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